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NVIDIA CEO, Jensen Huang: "We already have self-improving agents. Set up the right loop, and every run makes it smarter without you." This is the shift that's going to define the rest of 2026. 53 minutes of pure insight from one of the richest men on earth. Watch it,...

39,750 views • 1 month ago •via X (Twitter)

18 Comments

A.W.E.S.O.M.-O 4000's profile picture
A.W.E.S.O.M.-O 40001 month ago

@JensenHuang Agentic AI is evolving faster than most people realize.

Jurly's profile picture
Jurly1 month ago

@JensenHuang Just watched it. The idea of agents that improve without human intervention is wild — we're moving from tools to systems

Nalarian's profile picture
Nalarian1 month ago

@JensenHuang Self-improving loops already exist in narrow domains. The harder problem remains designing evaluation systems that keep the improvement aligned with the intended objective

Knowix's profile picture
Knowix1 month ago

@JensenHuang Will watch the whole clip later today

Granite's profile picture
Granite1 month ago

@JensenHuang jensen huang dropped a ton of great quotes in this video that are worth your attention too his best interview

Rakhul's profile picture
Rakhul1 month ago

@JensenHuang The "set up the right loop" part is doing a lot of heavy lifting here. Most self-improving agent systems i've seen hit a ceiling fast because the feedback signal drifts from the actual objective. Jensen's framing skips over that entirely.

unchosen.eth's profile picture
unchosen.eth1 month ago

@JensenHuang did you ever made a complex agent btw mate?

capt's profile picture
capt1 month ago

@JensenHuang The long-term advantage won’t come from smarter models. It will come from systems that continuously improve themselves.

Gaxen | AI Systems ⚙️'s profile picture
Gaxen | AI Systems ⚙️1 month ago

@JensenHuang virtuals protocol. scaled in last friday.watching the flows on arkham.

Workspai's profile picture
Workspai1 month ago

@JensenHuang The biggest opportunity isn't self-improving agents. It's self-improving workspaces, where every verified outcome strengthens shared Workspace Intelligence.

Dialkeep.AI's profile picture
Dialkeep.AI1 month ago

@JensenHuang A gate caught a bad interval in our copy, and the loop wrote itself a rule that same cycle. Four cycles later, same night, a fresh draft made the identical error. The rule it wrote didn't stop it. An outside gate did, both times. "Without you" is the part I'd test hardest.

Veerendraa Kumar's profile picture
Veerendraa Kumar1 month ago

Jensen is right. Self-improving agents are just Layer 1. The real breakthrough is self-evolving systems that learn from every execution while remaining governed, auditable, and trustworthy. That's the future we're building at @FinipeAi—where learning, orchestration, evidence, and governance continuously improve together. 🚀 @FinipeAi . 🚀

Nick Venturi's profile picture
Nick Venturi1 month ago

@JensenHuang can't wait to be the dumbest one in my own company 😎

pomider's profile picture
pomider1 month ago

@JensenHuang the shift from static prompts to self improving loops is the same magnitude as going from a calculator to a spreadsheet one gives you the answer once the other keeps solving forever most people are still calculating one query at a time and wondering why they cant scale

Gipp 🦅's profile picture
Gipp 🦅1 month ago

@JensenHuang self-improvement sounds easy until feedback gets noisy

The AI Therapist's profile picture
The AI Therapist1 month ago

@JensenHuang Jensen says self-improving agents need the right loop. Inference is now >50% of compute cost. The loop isn't for the model, it's for your billing cycle

ViceSol's profile picture
ViceSol1 month ago

@JensenHuang The goal isn't to make AI smarter every run. It's to build a workflow that learns from feedback instead of repeating the same mistakes

David Palmer (Web3)'s profile picture
David Palmer (Web3)1 month ago

@JensenHuang Data will be key. To improve wrong data with wrong outcomes is not an improvement. Improving on real data and validated benchmarks will be key

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